StarGANv2-VC
yl4579
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
Train, evaluate, and run machine learning models.
yl4579
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
ymcui
ymcui
ymcui
ymxlzgy
[ICLR 2026] The implementation of the paper Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
Yomguithereal
Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.
Yonghongwei
A New Optimization Technique for Deep Neural Networks
youngwanLEE
[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation
yousef-rafat
youssefHosni
A curated list of data science educational resources for essential data science skills
yoxu515
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
yoyoyohamapi
斯坦福机器学习完整 python 实现
深度学习工程师生存指南
yrlu
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
yromano
Conformalized Quantile Regression
YU1ut
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
yu4u
Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions
Yuan-ManX
Audio Development Tools (ADT) is a project for advancing sound, speech, and music technologies, featuring components for machine learning, sound synthesis, speech and music generation, signal processing, game audio, digital audio workstations (DAWs), and more.
YuanGongND
yuanli2333
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
yuanming-hu
YudeWang
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
yudi-mars
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)